Key Points:
- 88 percent of enterprises are adopting AI in some capacity, but many lack the necessary data infrastructure and employee skills.
- Top barriers to AI adoption include security and compliance risks, lack of training or talent, and expense.
- A new survey from Cloudera found that 94 percent of respondents trust their data, but 55 percent prefer to avoid accessing all their company’s data.
The State of Enterprise AI and Modern Data Architecture:
The survey, which polled 600 IT leaders across the U.S., EMEA, and APAC regions, explored the challenges and barriers to enterprise AI adoption. The study found that 74 percent of respondents cited security and compliance risks as a top barrier, while 38 percent said they lacked the proper training or talent to manage AI tools.
Challenges to AI Adoption:
- Security and compliance risks (74 percent)
- Lack of training or talent (38 percent)
- Expense (26 percent)
- Contradictory datasets (49 percent)
- Inability to govern data across platforms (36 percent)
- Too much data (35 percent)
The Importance of Trustworthy Data:
The survey highlighted the importance of trustworthy data in AI adoption. While 94 percent of respondents said they trust their data, 55 percent said they would rather undergo a root canal than attempt to access all of their company’s data. The findings suggest that many organizations may be missing a modern data architecture that enables organizational-wide access to data.
Top Use Cases for AI:
- Improving customer experiences (60 percent)
- Increasing operational efficiency (57 percent)
- Expediting analytics (51 percent)
AI’s Role in Education:
K-12 and higher education face the challenge of producing graduates with the necessary AI skills to compete in the workforce. A new commission, comprising policymakers, education leaders, and business leaders, is tackling AI’s role in education, focusing on AI skill readiness and policy development.
Conclusions:
The survey highlights the importance of data infrastructure and employee skills in AI adoption. Organizations that prioritize trustworthy data and address the challenges to AI adoption will be better positioned to reap the benefits of this technology. As AI becomes increasingly prominent in all industries, it is essential that educators and stakeholders prioritize the development of AI skills in students.
FAQs:
Q: What percentage of enterprises are adopting AI in some capacity?
A: 88 percent
Q: What are the top barriers to AI adoption?
A: Security and compliance risks, lack of training or talent, and expense
Q: What percentage of respondents said they trust their data?
A: 94 percent
Q: What are the top use cases for AI?
A: Improving customer experiences, increasing operational efficiency, and expediting analytics
Q: What is the importance of trustworthy data in AI adoption?
A: Trustworthy data is essential for successful AI adoption, as 55 percent of respondents prefer to avoid accessing all their company’s data.
